An h-adaptive solution of the spherical blast wave problem

被引:1
|
作者
Rios Rodriguez, Gustavo A. [1 ]
Storti, Mario A. [1 ]
Lopez, Ezequiel J. [1 ]
Sarraf, Sofia S. [1 ]
机构
[1] Univ Nacl Litoral, CONICET, Ctr Internac Metodos Computac Ingn CIMEC, RA-3000 Santa Fe, Santa Fe, Argentina
关键词
mesh adaptation; unstructured grids; hanging nodes; refinement constraints; blast waves; SUPG formulation; UNSTRUCTURED MESH REFINEMENT; COMPUTATIONAL FLUID-DYNAMICS; FINITE-ELEMENT FORMULATION; OPERATOR; FLOWS;
D O I
10.1080/10618562.2010.543418
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
Shock waves and contact discontinuities usually appear in compressible flows, requiring a fine mesh in order to achieve an acceptable accuracy of the numerical solution. The usage of a mesh adaptation strategy is convenient as uniform refinement of the whole mesh becomes prohibitive in three-dimensional (3D) problems. An unsteady h-adaptive strategy for unstructured finite element meshes is introduced. Non-conformity of the refined mesh and a bounded decrease in the geometrical quality of the elements are some features of the refinement algorithm. A 3D extension of the well-known refinement constraint for 2D meshes is used to enforce a smooth size transition among neighbour elements with different levels of refinement. A density-based gradient indicator is used to track discontinuities. The solution procedure is partially parallelised, i.e. the inviscid flow equations are solved in parallel with a finite element SUPG formulation with shock capturing terms while the adaptation of the mesh is sequentially performed. Results are presented for a spherical blast wave driven by a point-like explosion with an initial pressure jump of 105 atmospheres. The adapted solution is compared to that computed on a fixed mesh. Also, the results provided by the theory of self-similar solutions are considered for the analysis. In this particular problem, adapting the mesh to the solution accounts for approximately 4% of the total simulation time and the refinement algorithm scales almost linearly with the size of the problem.
引用
收藏
页码:31 / 39
页数:9
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